Adoption of Geometric Properties to Detect Herniated Spinal Disc of Human

Authors

  • Sundos AbdulAmeer Hameed الجامعة المستنصرية كلية العلوم قسم علوم الحاسبات
  • Israa Muhamad Alwan لجامعة المستنصرية كلية العلوم قسم علوم الحاسبات

DOI:

https://doi.org/10.23851/mjs.v28i3.38

Keywords:

Herniated spinal, Geometric properties, and MRI.

Abstract

Image analysis and processing is useful in the medical images field, especially with the use of magnetic resonance images (MRI). In this research, MRI of the human's spine was analysis and processed to identify and detect the herniated spinal Disc, or the probability of occurrence in the future. Lumbar and sacrum regions have been applied by the system. The system includes three phases, the first is to identify the lumbar and sacrum regions second are the geometric properties measuring, and finally to detect the presence or probability of herniated to occur in the future.

Author Biographies

Sundos AbdulAmeer Hameed, الجامعة المستنصرية كلية العلوم قسم علوم الحاسبات

تدريسية في كلية العلوم قسم علوم الحاسبات منذ 2005 ولحد الانالمرتبة العلمية : مدرسالاختصاص العام  : علوم حاسباتالاختصاص الدقيق : معالجة الصور الرقمية

Israa Muhamad Alwan, لجامعة المستنصرية كلية العلوم قسم علوم الحاسبات

دريسية في كلية العلوم قسم علوم الحاسبات منذ 2002 ولحد الانالمرتبة العلمية : مدرس مساعد

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Published

2018-07-28

How to Cite

[1]
S. A. Hameed and I. M. Alwan, “Adoption of Geometric Properties to Detect Herniated Spinal Disc of Human”, MJS, vol. 28, no. 3, pp. 187–192, Jul. 2018.

Issue

Section

Computer Science